AI Solutions Architect -GenAI & Enterprise AI Strategy

Location: Warren, New Jersey (remote)

Duration: Long TermExperience 15+ Years Overall Experience 7+ Years in AI/ML Solutions 3+ Years in Generative AI and LLM-based Architectures

Ideal Candidate Profile: A senior AI leader and hands‑on architect who can seamlessly bridge business strategy, enterprise architecture, GenAI innovation, and executive stakeholder management, while continuously evaluating emerging AI technologies and ensuring we remains at the foreground of enterprise AI adoption.

Role Summary: We are seeking a highly experienced AI Solutions Architect to lead the evaluation, architecture, implementation, and optimization of enterprise AI solutions across Finance and Corporate Functions. This is a strategic, customer‑facing role requiring deep expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AI platform architecture. The ideal candidate will possess strong hands‑on expertise across leading foundation models including OpenAI GPT, Claude, Gemini, Llama, Mistral, Cohere, and emerging AI platforms. The individual will continuously assess new model releases, benchmark capabilities, identify business applicability, and drive AI adoption while ensuring measurable business value, governance, security, and cost optimization. This role will work directly with senior business leaders, particularly within Finance and Executive Leadership teams, to identify opportunities where AI can improve productivity, decision quality, operational efficiency, and reduce overall AI consumption costs through advanced prompt engineering, model selection, and architecture optimization.

Key Responsibilities: AI Strategy & ArchitectureDefine enterprise AI architecture and roadmap aligned with business objectives. Design scalable, secure, and production‑ready GenAI solutions leveraging multiple LLM providers. Establish AI reference architectures, design patterns, governance standards, and best practices. Lead architecture reviews and provide technical leadership across AI initiatives. Build frameworks for AI adoption across Finance, Operations, Risk, Underwriting, Claims, and Corporate functions. LLM Evaluation & BenchmarkingContinuously evaluate emerging LLMs and new releases from: OpenAI (GPT Family) Anthropic (Claude) Perform comparative assessments across: Accuracy, Response quality, Reasoning capability, Hallucination rates, Performance, Security posture, Cost per token, Enterprise readiness Build model evaluation scorecards and recommendation frameworks. Prompt Engineering & Token OptimizationDesign advanced prompting frameworks for enterprise use cases. Partner with Finance executives and business users to optimize prompts for: Cost reduction, Token consumption efficiency, Output accuracy, Response consistency Develop reusable prompt libraries and knowledge repositories. Establish AI performance measurement frameworks and ROI tracking. Drive initiatives to reduce LLM operational costs while maintaining output quality. Agentic AI & AI AutomationArchitect AI agents and multi‑agent frameworks. Design autonomous workflows leveraging: MCP (Model Context Protocol), Agent‑to‑Agent communication, Tool Calling, Function Calling, Workflow Orchestration Build intelligent AI copilots and virtual assistants for business functions. Enterprise AI ImplementationLead end‑to‑end delivery of GenAI solutions from ideation through production deployment. Design and implement: Retrieval Augmented Generation (RAG), GraphRAG, Knowledge Management Platforms, Enterprise Search Solutions, AI Copilots, Document Intelligence Solutions Integrate AI solutions with enterprise applications and data platforms. Responsible AI & GovernanceDefine and implement: Responsible AI frameworks, Security and Privacy controls, Model governance, Compliance standards, Guardrails and human‑in‑the‑loop processes Ensure enterprise AI solutions meet regulatory and risk requirements. Executive AdvisoryAct as trusted AI advisor to senior executives. Translate complex AI concepts into business outcomes. Conduct AI workshops and executive briefings. Identify high‑value AI use cases and build business cases. Support AI investment decisions and vendor evaluations. Required Technical SkillsLarge Language ModelsGPT-4o / GPT-5 Claude Sonnet / Opus Gemini Llama Mistral Cohere Open-source LLM ecosystems AI ArchitectureGenAI Architecture Agentic AI Multi‑Agent Systems AI Copilots Enterprise AI Platforms LLMOps AI Governance RAG & Knowledge SystemsRAG GraphRAG Hybrid Search Vector Databases Embeddings Semantic Search AI FrameworksLangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Cloud & AI PlatformsAzure AI Foundry Azure OpenAI AWS Bedrock Google Vertex AI Databricks AI ProgrammingPython REST APIs Microservices Enterprise Integration Patterns Leadership ExpectationsExecutive presence and communication skills. Ability to influence C‑level stakeholders. Strong consulting and problem‑solving capabilities. Experience leading cross‑functional AI transformation programs. Ability to mentor architects, engineers, and business teams.